meta.DSL {rmeta}R Documentation

Random effects (DerSimonian-Laird) meta-analysis

Description

Computes the individual odds ratios or relative risks, the summary, the random effects variance, and Woolf's test for heterogeneity. The print method gives the summary and test for heterogeneity; the summary method also gives all the individual odds ratios and confidence intervals. Studies with zero or infinite odds ratio are omitted, as their variance cannot be calculated sensibly.

The plot method draws a standard meta-analysis plot. The confidence interval for each study is given by a horizontal line, and the point estimate is given by a square whose height is inversely proportional to the standard error of the estimate. The summary odds ratio, if requested, is drawn as a diamond with horizontal limits at the confidence limits and width inversely proportional to its standard error.

Usage

meta.DSL(ntrt, nctrl, ptrt, pctrl, conf.level=0.95,
         names=NULL, data=NULL, subset=NULL, na.action=na.fail,statistic="OR")
## S3 method for class 'meta.DSL':
summary(object, conf.level=NULL, ...)
## S3 method for class 'meta.DSL':
plot(x, summary=TRUE, summlabel="Summary",
             conf.level=NULL, colors=meta.colors(), xlab=NULL,...)

Arguments

ntrt Number of subjects in treated/exposed group
nctrl Number of subjects in control group
ptrt Number of events in treated/exposed group
pctrl Number of events in control group
conf.level Coverage for confidence intervals
names names or labels for studies
data data frame to interpret variables
subset subset of studies to include
na.action a function which indicates what should happen when the data contain NAs. Defaults to na.fail.
statistic "OR" for odds ratio, "RR" for relative risk
x,object a meta.DSL object
summary Plot the summary odds ratio?
summlabel Label for the summary odds ratio
colors see meta.colors
xlab x-axis label, default is based on statistic
... further arguments to be passed from or to methods.

Value

An object of class meta.DSL with print, plot, funnelplot and summary methods.

Author(s)

Thomas Lumley

See Also

plot,par,meta.MH,funnelplot

Examples

data(catheter)
b <- meta.DSL(n.trt, n.ctrl, col.trt, col.ctrl, data=catheter,
              names=Name, subset=c(13,6,5,3,7,12,4,11,1,8,10,2))
b
summary(b)
plot(b)
e <- meta.DSL(n.trt, n.ctrl, inf.trt, inf.ctrl, data=catheter,
              names=Name, subset=c(13,6,3,12,4,11,1,14,8,10,2))
e
summary(e)
##tasteless
plot(e, colors=meta.colors(summary="green",lines="purple",box="orange"))

[Package rmeta version 2.15 Index]